Juniper Networks a leader in secure, AI-driven networks, recenlty announced an advancement for private cloud data center operations, adding network, server and workload monitoring, analytics and troubleshooting with Contrail Insights. Data center monitoring continues to increase in complexity as more infrastructure abstractions, services and software are stacked up to construct cloud-native applications. Juniper’s Contrail Insights provides historical and real-time visibility that cuts through layers of infrastructure to improve operational speed, experience and reliability.
Contrail Insights is the newest addition to the Contrail Enterprise Multi-cloud solution. From virtualized networking to micro-segmentation, Contrail Enterprise Multi-cloud provides a complete software-defined networking solution for the multi-cloud era. Now the single pane of glass has fully integrated analytics. This provides a seamless user experience with deep insight and visibility into data center network overlay-underlay correlation and multi-tenant resource usage.
New Contrail Insights features and benefits include:
- Real-Time and Historic Visibility: Powered by machine learning-fed historical data and real-time streaming telemetry, Contrail Insights offers service-level and fine-grained observability for data center infrastructure, from overlay and underlay networks to physical and virtual servers and their workloads. The new data center topology heatmap is intuitive, configurable and allows operators to see the entire data center and then drill in to easily inspect localized issues.
- Troubleshooting Analysis: To find issues like hotspots, microbursts, monopolized resources and noisy neighbors in a multi-tenant or shared private cloud environment, Contrail Insights has a new top-N or “top talkers” query engine with tabular and charted views. Coupled with drill-down query filtering and a tie-in to topological path finding, these Contrail Insights diagnostics enable engineers to proactively mitigate issues like network congestion and resource contention.
- Overlay and Underlay Correlation: The overlay-underlay correlation and path finding features allow operators to uncover root cause by mapping virtual infrastructure for workloads and network abstractions down upon the physical infrastructure and network. In data centre underlay physical networks, where overlay traffic is typically load-balanced across the fabric, Contrail Insights path finding features illuminate the topology heatmap to quickly pinpoint problems during troubleshooting and solve formerly elusive issues.